Triple
T3907929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiga Lakes |
E87249
|
entity |
| Predicate | hasHomeRegion |
P33091
|
FINISHED |
| Object | Shiga Prefecture |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Shiga Prefecture | Statement: [Shiga Lakes, hasHomeRegion, Shiga Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeRegion Context triple: [Shiga Lakes, hasHomeRegion, Shiga Prefecture]
-
A.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
B.
hasHomeCity
Indicates that an entity’s primary or official city of residence or affiliation is a specified city.
-
C.
hasHomeland
Indicates that an entity considers or recognizes a particular place or region as its homeland or place of origin.
-
D.
isFromRegion
chosen
Indicates that one entity originates from, is associated with, or belongs to a specified geographic region.
-
E.
hasGlobalRegion
Indicates that an entity is associated with or belongs to a specific global geographic region.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.